Restructuring legacy pipeline constraints for FinSphere
FinSphere, a fast-growing digital transaction vendor, was experiencing database contention failures during high-volume periods. Their legacy database system was unable to safely partition read/write traffic, causing API latency spikes up to 4.2 seconds.
NexisCore executed a complete database and migration roadmap. We split their system into isolated transaction pipelines, implemented an AWS Aurora multi-AZ replication architecture, and built high-performance Redis cache layers to offload database query read operations.
Architectural Approach & Technical Framework
The project was divided into three stages: stack auditing, staging replication tests, and production hot-swap migration. To protect transaction safety, we maintained real-time pipeline syncs during the transition, preventing ledger out-of-sync bugs.
Today, FinSphere runs completely on our serverless database cluster. Operations are fully automated, utilizing custom alert models. Latency remains at sub-200ms levels even during peak commercial shopping windows.
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